The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
A graphical vector autoregressive modelling approach to the analysis of electronic diary data
Open accessAbstract
BACKGROUND: In recent years, electronic diaries are increasingly used in medical research and practice to investigate patients' processes and fluctuations in symptoms over time. To model dynamic dependence structures and feedback mechanisms between symptom-relevant variables, a multivariate time series method has to be applied. METHODS: We propose to analyse the temporal interrelationships among the variables by a structural modelling approach based on graphical vector autoregressive (VAR) models. We give a comprehensive description of the underlying concepts and explain how the dependence structure can be recovered from electronic diary data by a search over suitable constrained (graphical) VAR models. RESULTS: The graphical VAR approach is applied to the electronic diary data of 35 obese patients with and without binge eating disorder (BED). The dynamic relationships for the two subgroups between eating behaviour, depression, anxiety and eating control are visualized in two path diagrams. Results show that the two subgroups of obese patients with and without BED are distinguishable by the temporal patterns which influence their respective eating behaviours. CONCLUSION: The use of the graphical VAR approach for the analysis of electronic diary data leads to a deeper insight into patient's dynamics and dependence structures. An increasing use of this modelling approach could lead to a better understanding of complex psychological and physiological mechanisms in different areas of medical care and research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures



Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The temporal dynamics between two or more variables may be investigated using vector auto-regression (VAR) models. This way complex relationships between variables can be unraveled, such that it becomes possible to make inferences about person-level cause -effect relationships (Wild et al., 2010).”
From Mood Disorders in Everyday Life: A Systematic Review of Experience Sampling and Ecological Momentary Assessment Studies (2012) · cites this paper as Wild et al., 2010
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Diagnostic and Statistical Manual of Mental Disorders (DSM-IV)
Hu, R. J. (2003) · Elsevier eBooks · doi:10.1016/b0-12-226870-9/01070-4 · Cited by 9,168
New Introduction to Multiple Time Series Analysis
Lütkepohl, H. (2005) · Springer eBooks · doi:10.1007/978-3-540-27752-1 · Cited by 5,972
Investigating Causal Relations by Econometric Models and Cross-Spectral Methods
Granger, C. W. J. (2010) · Essays in Econometrics · doi:10.1017/cbo9780511753978.002 · Cited by 4,762
Lauritzen, S. L. (1996) · doi:10.1093/oso/9780198522195.001.0001 · Cited by 2,976
Introduction to Multiple Time Series Analysis
Jolliffe, I. T., Lütkepohl, H., & Lütkepohl, H. (1993) · Technometrics · doi:10.2307/1269296 · Cited by 1,912
Introduction to Graphical Modelling
Edwards, D. (2000) · Springer texts in statistics · doi:10.1007/978-1-4612-0493-0 · Cited by 809
Goebel, R., Roebroeck, A. F., Kim, D., & Formisano, E. (2003) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2003.08.026 · Cited by 678
Binge eating disorder and obesity
de Zwaan, M. (2001) · International Journal of Obesity · doi:10.1038/sj.ijo.0801699 · Cited by 522
Research works printed but not linked: 1
- Schlittgen R, Streitberg BHJ: Zeitreihenanalyse. 1997, München: Oldenbourg
Cited by
Sorted by citations
A tutorial on regularized partial correlation networks
Epskamp, S., & Fried, E. I. (2018) · Psychological Methods · doi:10.1037/met0000167 · Cited by 2,918
The Gaussian Graphical Model in Cross-Sectional and Time-Series Data
Epskamp, S., Waldorp, L., Mõttus, R., & Borsboom, D. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1454823 · Cited by 1,247
Network analysis: a brief overview and tutorial
Hevey, D. (2018) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2018.1521283 · Cited by 1,188
mgm : Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data
Haslbeck, J. M. B., & Waldorp, L. (2020) · Journal of Statistical Software · doi:10.18637/jss.v093.i08 · Cited by 775
A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data
Bringmann, L. F., Vissers, N., Wichers, M., Geschwind, N., Kuppens, P., Peeters, F. P. M. L., Borsboom, D., & Tuerlinckx, F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060188 · Cited by 721
Epskamp, S., van Borkulo, C. D., van der Veen, D. C., Servaas, M. N., Isvoranu, A.-M., Riese, H., & Cramer, A. O. J. (2018) · Clinical Psychological Science · doi:10.1177/2167702617744325 · Cited by 448
Psychometric Network Models from Time-Series and Panel Data
Epskamp, S. (2020) · Psychometrika · doi:10.1007/s11336-020-09697-3 · Cited by 365
aan het Rot, M., Hogenelst, K., & Schoevers, R. A. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.05.007 · Cited by 325
Applied ambulatory assessment: Integrating idiographic and nomothetic principles of measurement.
Wright, A. G. C., & Zimmermann, J. (2019) · Psychological Assessment · doi:10.1037/pas0000685 · Cited by 227
Heeren, A., & McNally, R. J. (2016) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.06.009 · Cited by 170
Jordan, D. G., Winer, E. S., & Salem, T. (2020) · Journal of Clinical Psychology · doi:10.1002/jclp.22957 · Cited by 166
Investigating the feasibility of idiographic network models.
Mansueto, A. C., Wiers, R. W., van Weert, J. C. M., Schouten, B. C., & Epskamp, S. (2023) · Psychological Methods · doi:10.1037/met0000466 · Cited by 147
mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional DataPreprint
Haslbeck, J. M. B., & Waldorp, L. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1510.06871 · Cited by 142
Wichers, M., Riese, H., Hodges, T. M., Snippe, E., & Bos, F. M. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.719490 · Cited by 98
Feasibility and utility of idiographic models in the clinic: A pilot study
Frumkin, M. R., Piccirillo, M. L., Beck, E. D., Grossman, J. T., & Rodebaugh, T. L. (2020) · Psychotherapy Research · doi:10.1080/10503307.2020.1805133 · Cited by 100
Time-evolving controllability of effective connectivity networks during seizure progression
Scheid, B. H., Ashourvan, A., Stiso, J., Davis, K. A., Mikhail, F., Pasqualetti, F., Litt, B., & Bassett, D. S. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2006436118 · Cited by 77
Idiographic Traits: A Return to Allportian Approaches to Personality
Beck, E. D., & Jackson, J. J. (2020) · Current Directions in Psychological Science · doi:10.1177/0963721420915860 · Cited by 76
Using Raw VAR Regression Coefficients to Build Networks can be Misleading
Bulteel, K., Tuerlinckx, F., Brose, A., & Ceulemans, E. (2016) · Multivariate Behavioral Research · doi:10.1080/00273171.2016.1150151 · Cited by 75
Ariens, S., Ceulemans, E., & Adolf, J. (2020) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2020.110191 · Cited by 76
VAR(1) based models do not always outpredict AR(1) models in typical psychological applications.
Bulteel, K., Mestdagh, M., Tuerlinckx, F., & Ceulemans, E. (2018) · Psychological Methods · doi:10.1037/met0000178 · Cited by 73
Ramseyer, F., Kupper, Z., Caspar, F., Znoj, H., & Tschacher, W. (2014) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0037168 · Cited by 69
Levinson, C. A., Vanzhula, I. A., & Brosof, L. C. (2018) · International Journal of Eating Disorders · doi:10.1002/eat.22952 · Cited by 66
Panayiotou, M., Black, L., Carmichael-Murphy, P., Qualter, P., & Humphrey, N. (2023) · Nature Mental Health · doi:10.1038/s44220-023-00063-7 · Cited by 62
Beck, E. D., & Jackson, J. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-813995-0.00004-2 · Cited by 64
Burger, J., Epskamp, S., van der Veen, D. C., Dablander, F., Schoevers, R. A., Fried, E. I., & Riese, H. (2022) · Journal of Psychopathology and Clinical Science · doi:10.1037/abn0000779 · Cited by 65
Kelty‐Stephen, D. G., Hsu, W., Young, D., Saltzman, E. L., Holt, K. G., Newman, D. J., Weinberg, M., Wood, R. J., Nagpal, R., & Goldfield, E. C. (2012) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2012.06.005 · Cited by 57
Thompson, W. K., Gershon, A., O'Hara, R. M., Bernert, R. A., & Depp, C. A. (2014) · Bipolar Disorders · doi:10.1111/bdi.12218 · Cited by 57
Using language in social media posts to study the network dynamics of depression longitudinally
Kelley, S., & Gillan, C. M. (2022) · Nature Communications · doi:10.1038/s41467-022-28513-3 · Cited by 56
Clustering Vector Autoregressive Models: Capturing Qualitative Differences in Within-Person Dynamics
Bulteel, K., Tuerlinckx, F., Brose, A., & Ceulemans, E. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01540 · Cited by 49
Scholten, S., Lischetzke, T., & Glombiewski, J. A. (2021) · Psychotherapy Research · doi:10.1080/10503307.2021.1916639 · Cited by 50
Kroesen, M., & Chorus, C. G. (2020) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2020.01.014 · Cited by 43
Tuarob, S., Tucker, C. S., Kumara, S. R. T., Giles, C. L., Pincus, A. L., Conroy, D. E., & Ram, N. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.02.010 · Cited by 42
Emotion Regulation Flexibility
English, T., & Eldesouky, L. (2020) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000581 · Cited by 46
Jongeneel, A., Aalbers, G., Bell, I., Fried, E. I., Delespaul, P., Riper, H. M., van der Gaag, M., & van den Berg, D. P. G. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.10.055 · Cited by 39
Levinson, C. A., Vanzhula, I. A., Smith, T., & Stice, E. M. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103731 · Cited by 38
Kraft, B., Jonassen, R., Heeren, A., Harmer, C. J., Stiles, T. C., & Landrø, N. I. (2019) · Clinical Psychological Science · doi:10.1177/2167702618822480 · Cited by 36
Burger, J., Ralph‐Nearman, C., & Levinson, C. A. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104221 · Cited by 33
Psychometric network models from time-series and panel dataPreprint
Epskamp, S. (2019) · doi:10.31234/osf.io/8ha93 · Cited by 33
Automating Vector Autoregression on Electronic Patient Diary Data
Emerencia, A. C., van der Krieke, L., Bos, E. H., de Jonge, P., Petkov, N., & Aiello, M. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2402280 · Cited by 32
Improved Insight into and Prediction of Network Dynamics by Combining VAR and Dimension Reduction
Bulteel, K., Tuerlinckx, F., Brose, A., & Ceulemans, E. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1516540 · Cited by 31
Höltge, J., Theron, L. C., & Ungar, M. T. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.10.030 · Cited by 36
Burton, C. D., Dawes, H., Goodwill, S. R., Thelwell, M., & Dalton, C. (2023) · PLoS ONE · doi:10.1371/journal.pone.0280343 · Cited by 32
Speyer, L. G., Eisner, M., Ribeaud, D., Luciano, M., Bonnie Auyeung, B., & Murray, A. L. (2021) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-021-00856-3 · Cited by 30
Zainal, N. H., & Newman, M. G. (2022) · Psychological Medicine · doi:10.1017/s003329172200232x · Cited by 28
Open Peer Commentary and Authors’ Response
Bleidorn, W., & Hopwood, C. J. (2017) · European Journal of Personality · doi:10.1002/per.2128 · Cited by 28
Speyer, L. G., Ushakova, A., Hall, H. A., Luciano, M., Bonnie Auyeung, B., & Murray, A. L. (2021) · Journal of Psychopathology and Clinical Science · doi:10.1037/abn0000714 · Cited by 26
Oreel, T. H., Borsboom, D., Epskamp, S., Hartog, I. D., Netjes, J. E., Nieuwkerk, P. T., Henriques, J. P. S., Scherer‐Rath, M., van Laarhoven, H. W. M., & Sprangers, M. A. G. (2018) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2018.11.022 · Cited by 28
Towards a personalized happiness approach to capturing change in satisfaction
Beck, E. D., Cheung, F., Thapa, S., & Jackson, J. J. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02171-z · Cited by 25
Network approaches to representing and understanding personality dynamics
Beck, E. D., & Jackson, J. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819200-9.00003-x · Cited by 24
Brinkhof, L. P., Chambon, M., Ridderinkhof, K. R., van Harreveld, F., Murre, J. M. J., Krugers, H. J., & de Wit, S. (2023) · Clinical Psychological Science · doi:10.1177/21677026231190294 · Cited by 24
Weigard, A. S., Lane, S., Gates, K. M., & Beltz, A. M. (2021) · Psychological Methods · doi:10.1037/met0000460 · Cited by 20
Speyer, L. G., Hall, H. A., Ushakova, A., Luciano, M., Bonnie Auyeung, B., & Murray, A. L. (2022) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-022-00933-1 · Cited by 19
Idiographic personality coherence: A quasi experimental longitudinal ESM study
Beck, E. D., & Jackson, J. J. (2021) · European Journal of Personality · doi:10.1177/08902070211017746 · Cited by 22
Investigating sleep, stress, and mood dynamics via temporal network analysis
Jordan, D. G., Slavish, D. C., Dietch, J. R., Messman, B., Ruggero, C. J., Kelly, K. S., & Taylor, D. J. (2023) · Sleep Medicine · doi:10.1016/j.sleep.2023.01.007 · Cited by 17
Rowland, Z., & Wenzel, M. (2020) · Mindfulness · doi:10.1007/s12671-020-01335-4 · Cited by 17
Network Models for Clinical Psychology
van Bork, R., van Borkulo, C. D., Waldorp, L., Cramer, A. O. J., & Borsboom, D. (2018) · Wiley eBooks · doi:10.1002/9781119170174.epcn518 · Cited by 17
Consistency and Change in Idiographic Personality: A Longitudinal ESM Network StudyPreprint
Beck, E. D., & Jackson, J. J. (2018) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/pb92q · Cited by 17
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
Fisher, Z. F., Kim, Y., Fredrickson, B. L., & Pipiras, V. (2022) · Psychometrika · doi:10.1007/s11336-021-09825-7 · Cited by 16
Daumiller, M. H., Putwain, D. W., & Nett, U. E. (2024) · Journal of Educational Psychology · doi:10.1037/edu0000883 · Cited by 16
Park, J., Chow, S., Fisher, Z. F., & Molenaar, P. C. M. (2020) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000612 · Cited by 16
Scholten, S., Rubel, J. A., Glombiewski, J. A., & Milde, C. (2024) · Psychotherapy Research · doi:10.1080/10503307.2024.2328304 · Cited by 16
Personalized networks of eating disorder symptoms predicting eating disorder outcomes and remission
Levinson, C. A., Cash, E. D., Welch, K. C., Epskamp, S., Hunt, R. A., Williams, B. M., Keshishian, A. C., & Spoor, S. P. (2020) · International Journal of Eating Disorders · doi:10.1002/eat.23398 · Cited by 15
Open Peer Commentary and Author'S Response
Asendorpf, J. B., Balliet, D. P., Righetti, F., Blackie, L. E. R., Jayawickreme, E., Blum, G. S., Schmitt, M., Donnellan, M. B., Corker, K. S., Dunlop, W. L., et al. (2018) · European Journal of Personality · doi:10.1002/per.2174 · Cited by 15
Freichel, R., Veer, I. M., Wiers, R. W. H. J., McNally, R. J., & Epskamp, S. (2023) · doi:10.31234/osf.io/b94qt · Cited by 15
Ye, A., Gates, K. M., Henry, T. R., & Luo, L. (2021) · Psychometrika · doi:10.1007/s11336-021-09753-6 · Cited by 14
Extracting Nonlinear Dynamics from Psychological and Behavioral Time Series Through HAVOK Analysis
Moulder, R. G., Jr., Martynova, E., & Boker, S. M. (2022) · Multivariate Behavioral Research · doi:10.1080/00273171.2021.1994848 · Cited by 15
Butler, R. M., Ortiz, A. M. L., Pennesi, J., Crumby, E. K., Cusack, C. E., & Levinson, C. A. (2023) · International Journal of Eating Disorders · doi:10.1002/eat.23982 · Cited by 14
Network-based methods for psychometric data of eating disorders: A systematic review
Punzi, C., Petti, M., & Tieri, P. (2022) · PLoS ONE · doi:10.1371/journal.pone.0276341 · Cited by 16
Costantini, G., & Perugini, M. (2016) · Wiley eBooks · doi:10.1002/9781119173489.ch6 · Cited by 11
Bos, F. M. (2021) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.177817937 · Cited by 10
Christian, C., Cusack, C. E., Ralph‐Nearman, C., Spoor, S. P., Hunt, R. A., & Levinson, C. A. (2022) · Behavior Therapy · doi:10.1016/j.beth.2022.08.003 · Cited by 11
Stroe‐Kunold, E., Friederich, H., Stadnitski, T., Wesche, D., Herzog, W., Schwab, M. G., & Wild, B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154701 · Cited by 9
Self-citationKolar, D. R., Bürger, A., Hammerle, F., & Jenetzky, E. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-004703 · Cited by 9
Stadnitski, T., & Wild, B. (2019) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000680 · Cited by 9
Self-citationNtekouli, M., Spanakis, G., Waldorp, L., & Roefs, A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-01333-1_16 · Cited by 9
The Search for a Bridge: Idiographic Personality NetworksPreprint
Beck, E. D., & Jackson, J. J. (2018) · doi:10.31234/osf.io/h23k4 · Cited by 9
Ngai, S. S., Cheung, C., Zhou, Q., Zhang, J., Ng, Y., Yu, E. N.-H., Zhang, X., & Wong, L. (2023) · Current Psychology · doi:10.1007/s12144-023-05055-5 · Cited by 8
Kohlmann, M., Gietzelt, M., Haux, R., Song, B., Wolf, K.-H., & Marschollek, M. (2014) · Informatics for Health and Social Care · doi:10.3109/17538157.2014.931847 · Cited by 8
Discovering Discontinuity in Big Financial Transaction Data
Tuarob, S., Strong, R., Chandra, A., & Tucker, C. S. (2018) · ACM Transactions on Management Information Systems · doi:10.1145/3159445 · Cited by 8
Possible Futures for the Psychological Network Approach: Agenda for Clinical Scientists
Kashihara, J., Sugawara, D., Kunisato, Y., Takebayashi, Y., Nakajima, S., & Ito, M. (2024) · Japanese Psychological Research · doi:10.1111/jpr.12538 · Cited by 8
Levinson, C. A., Kapadia, A., Sandoval-Araujo, L. E., Vanzhula, I. A., & Machry, K. (2025) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-081423-020831 · Cited by 7
Methods and models for investigating anomalous experiences in schizophrenia spectrum disorders
Brar, P. S., Pienkos, E., Porto, A., Wood, H. J., Sarpal, D. K., Kalarchian, M. A., Schreiber, J. B., & Kranjec, A. (2024) · Philosophical Psychology · doi:10.1080/09515089.2024.2305232 · Cited by 6
Historical Change in the Moral Foundations of Political Persuasion
Buttrick, N. R., Moulder, R., & Oishi, S. (2020) · Personality and Social Psychology Bulletin · doi:10.1177/0146167220907467 · Cited by 7
Rajarethinam, J., Aik, J., & Tian, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17249345 · Cited by 6
Rafi, A. M., Rana, S., Kaur, R., Wu, Q. M. J., & Zadeh, P. M. (2020) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc42975.2020.9283376 · Cited by 5
A Systematic Scoping Review of Fully Idiographic Network Analysis in Mental Health
Andreoli, G., Rafanelli, C., Hofmann, S. G., & Casu, G. (2025) · Cognitive Therapy and Research · doi:10.1007/s10608-025-10674-2 · Cited by 5
Evaluating Discrete Time Methods for Subgrouping Continuous Processes
Park, J., Fisher, Z. F., Chow, S., & Molenaar, P. C. M. (2023) · Multivariate Behavioral Research · doi:10.1080/00273171.2023.2235685 · Cited by 5
Housing price diffusions in mainland China: evidence from a spatially penalized graphical VAR model
Jiang, X., Chang, L., & Shi, Y. (2022) · Empirical Economics · doi:10.1007/s00181-022-02264-y · Cited by 5
Stroe‐Kunold, E., Wesche, D., Friederich, H., Herzog, W., Zastrow, A., & Wild, B. (2012) · The International Journal of Psychiatry in Medicine · doi:10.2190/pm.44.1.d · Cited by 5
Self-citationXu, J., & Tong, X. (2016) · Acta Mathematicae Applicatae Sinica English Series · doi:10.1007/s10255-016-0543-3 · Cited by 4
Suotsalo, K., Xu, Y., Corander, J., & Pensar, J. (2021) · Statistics and Computing · doi:10.1007/s11222-021-10049-z · Cited by 4
What makes inpatient treatment for PTSD effective? Investigating daily therapy process factors
Kratzer, L., Schiepek, G. K., Heinz, P., Schöller, H. J., Knefel, M., Haselgruber, A., & Karatzias, T. (2022) · Psychotherapy Research · doi:10.1080/10503307.2022.2050830 · Cited by 5
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting
Ntekouli, M., Spanakis, G., Waldorp, L., & Roefs, A. (2024) · IEEE International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew61823.2024.00027 · Cited by 4
Using Ambulatory Assessments to Understand Personality-Health Associations
Jackson, J. J., & Beck, E. D. (2020) · International perspectives on aging · doi:10.1007/978-3-030-32053-9_7 · Cited by 3
Reviewing Graphical Modelling of Multivariate Temporal Processes
Eckardt, M. (2016) · Studies in classification, data analysis, and knowledge organization · doi:10.1007/978-3-319-25226-1_19 · Cited by 3
Saef, R. M., Beck, E. D., & Jackson, J. J. (2021) · Research in occupational stress and well being · doi:10.1108/s1479-355520210000019009 · Cited by 4
Regularized Structural Equation Modeling for Individual-Level Directed Functional Connectivity
Lane, S. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/0prc-qf02 · Cited by 3
Extracting Nonlinear Dynamics from Psychological and Behavioral Time Series Through HAVOK AnalysisPreprint
Moulder, R. G., Jr., Martynova, E., & Boker, S. M. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/d4c3f · Cited by 3
Shi, D., Hébert, E. T., & Businelle, M. S. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/bdpre · Cited by 3
Shimotsukasa, T., & Mieda, T. (2025) · Japanese Psychological Research · doi:10.1111/jpr.12604 · Cited by 2
Metadata
- Authors
- Wild, B., Eichler, M., Friederich, H.-C., Hartmann, M., Zipfel, S., & Herzog, W.
- Affiliations
- University Hospital Heidelberg (DE)
- Maastricht University (NL)
- Universitätsklinikum Tübingen (DE)
- Corresponding author
- Wild, Beate
- Eichler, Michael
- ORCID
- Venue
- BMC Medical Research Methodology
- Published
- 2010-04-01
- Volume
- 10
- Issue
- 1
- Pages
- 28-28
- ISSN
- 1471-2288 (ISSN-L)
- PMC
- PMC2869334
- OpenAlex
- W2028782034
- Cited by
- 123
- References
- 54
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 7 · 2023: 10 · 2022: 12 · 2021: 18 · 2020: 22 · 2019: 6 · 2018: 13 · 2017: 2 · 2016: 8 · 2015: 3 · 2014: 4 · 2013: 1 · 2012: 3
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Medical Research Methodology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Keywords
- electronic diary, multivariate time series, binge eating disorder, obesity, eating behaviour, depression, anxiety, food intake regulation, path diagrams
- MeSH terms
- Adult, Anxiety, Computer Graphics, Depression, Female, Humans, Male, Models, Theoretical, Obesity, Regression Analysis, Multivariate Analysis, Computers, Handheld, Young Adult, Binge-Eating Disorder
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review